Picture 1 of 1
Gallery
Picture 1 of 1
Have one to sell?
Sentic Computing: A Common-Sense-B
US $150.87
ApproximatelyRM 637.83
Condition:
Brand New
A new, unread, unused book in perfect condition with no missing or damaged pages.
3 available
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
Shipping:
Free Economy Shipping.
Located in: Fairfield, Ohio, United States
Delivery:
Estimated between Tue, 29 Jul and Mon, 4 Aug to 91768
Returns:
30 days return. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.
Coverage:
Read item description or contact seller for details. See all detailsSee all details on coverage
(Not eligible for eBay purchase protection programmes)
Shop with confidence
Seller assumes all responsibility for this listing.
eBay item number:396715051987
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- ISBN-13
- 9783319236537
- Book Title
- Sentic Computing
- ISBN
- 9783319236537
About this product
Product Identifiers
Publisher
Springer International Publishing A&G
ISBN-10
3319236539
ISBN-13
9783319236537
eBay Product ID (ePID)
215913217
Product Key Features
Number of Pages
Xxii, 176 Pages
Language
English
Publication Name
Sentic Computing: a Common-Sense-Based Framework for Concept-Level Sentiment Analysis
Subject
Life Sciences / Neuroscience, Linguistics / Semantics, Probability & Statistics / General, Databases / Data Mining
Publication Year
2015
Type
Textbook
Subject Area
Mathematics, Computers, Language Arts & Disciplines, Science
Series
Socio-Affective Computing Ser.
Format
Hardcover
Dimensions
Item Weight
163.1 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
Dewey Edition
23
Series Volume Number
1
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
006.7
Synopsis
This volume presents a knowledge-based approach to concept-level sentiment analysis at the crossroads between affective computing, information extraction, and common-sense computing, which exploits both computer and social sciences to better interpret and process information on the Web. Concept-level sentiment analysis goes beyond a mere word-level analysis of text in order to enable a more efficient passage from (unstructured) textual information to (structured) machine-processable data, in potentially any domain. Readers will discover the following key novelties, that make this approach so unique and avant-garde, being reviewed and discussed: - Sentic Computing's multi-disciplinary approach to sentiment analysis-evidenced by the concomitant use of AI, linguistics and psychology for knowledge representation and inference - Sentic Computing's shift from syntax to semantics-enabled by the adoption of the bag-of-concepts model instead of simply counting word co-occurrence frequencies in text - Sentic Computing's shift from statistics to linguistics-implemented by allowing sentiments to flow from concept to concept based on the dependency relation between clauses This volume is the first in the Series Socio-Affective Computing edited by Dr Amir Hussain and Dr Erik Cambria and will be of interest to researchers in the fields of socially intelligent, affective and multimodal human-machine interaction and systems., This volume presents a knowledge-based approach to concept-level sentiment analysis at the crossroads between affective computing, information extraction, and common-sense computing, which exploits both computer and social sciences to better interpret and process information on the Web. Concept-level sentiment analysis goes beyond a mere word-level analysis of text in order to enable a more efficient passage from (unstructured) textual information to (structured) machine-processable data, in potentially any domain. Readers will discover the following key novelties, that make this approach so unique and avant-garde, being reviewed and discussed: - Sentic Computing's multi-disciplinary approach to sentiment analysis-evidenced by the concomitant use of AI, linguistics and psychology for knowledge representation and inference - Sentic Computing's shift from syntax to semantics-enabled by the adoption of the bag-of-concepts model instead of simply counting word co-occurrence frequencies in text - Sentic Computing's shift from statistics to linguistics-implemented by allowing sentiments to flow from concept to concept based on the dependency relation between clauses This volume is the first in the Series Socio-Affective Computing edited by Dr Amir Hussain and Dr Erik Cambria and will be of interest to researchers in the fields of socially intelligent, affective and multimodal human-machine interaction andsystems., This volume presents a knowledge-based approach to concept-level sentiment analysis at the crossroads between affective computing, information extraction, and common-sense computing, which exploits both computer and social sciences to better interpret and process information on the Web. Concept-level sentiment analysis goes beyond a mere word-level analysis of text in order to enable a more efficient passage from (unstructured) textual information to (structured) machine-processable data, in potentially any domain. Readers will discover the following key novelties, that make this approach so unique and avant-garde, being reviewed and discussed: * Sentic Computing's multi-disciplinary approach to sentiment analysis-evidenced by the concomitant use of AI, linguistics and psychology for knowledge representation and inference * Sentic Computing's shift from syntax to semantics-enabled by the adoption of the bag-of-concepts model instead of simply counting word co-occurrence frequencies in text * Sentic Computing's shift from statistics to linguistics-implemented by allowing sentiments to flow from concept to concept based on the dependency relation between clauses This volume is the first in the Series Socio-Affective Computing edited by Dr Amir Hussain and Dr Erik Cambria and will be of interest to researchers in the fields of socially intelligent, affective and multimodal human-machine interaction andsystems.
LC Classification Number
RC321-580
Item description from the seller
Seller feedback (1,054,249)
- 2***l (255)- Feedback left by buyer.Past monthVerified purchaseGreat book thank you just took so long to get delivered .
- o***s (57)- Feedback left by buyer.Past monthVerified purchaseCanβt wait to begin it tonight!!!
- 9***- (131)- Feedback left by buyer.Past monthVerified purchaseGreat product and arrived on time ππ»ππ»
Seller feedback (1,054,249)
- 2***l (255)- Feedback left by buyer.Past monthVerified purchaseGreat book thank you just took so long to get delivered .
- o***s (57)- Feedback left by buyer.Past monthVerified purchaseCanβt wait to begin it tonight!!!
- 9***- (131)- Feedback left by buyer.Past monthVerified purchaseGreat product and arrived on time ππ»ππ»